{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from lineartree import LinearForestRegressor\n",
    "\n",
    "from sklearn.datasets import make_regression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import GridSearchCV, train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "Ni8sYAPK0mst"
   },
   "outputs": [],
   "source": [
    "### UTILITY FUNCTION TO APPLY TRANSFORMATIONS AND GENERATE TARGET ###\n",
    "\n",
    "def create_target(X, noise=0, add_trend=False):\n",
    "\n",
    "    if add_trend:\n",
    "        trend_smooth_lower = np.random.uniform(-1.8,-0.5, X.shape[1])\n",
    "        trend_smooth_upper = np.random.uniform(0.4,1, X.shape[1])\n",
    "        trend = np.log(1 + np.exp(2 * np.linspace(trend_smooth_lower, trend_smooth_upper, X.shape[0])))\n",
    "        trend = pd.DataFrame(trend, columns=X.columns)\n",
    "        X = X + trend\n",
    "\n",
    "    y = (\n",
    "          X['linear_1'] +\n",
    "          X['linear_2']*3 + \n",
    "          (X['notlinear_square'] ** 2)/3 + \n",
    "          np.cos(3 * X['notlinear_cos']) + \n",
    "          (X['interaction_1'] * X['interaction_2'] * X['interaction_3'])/3\n",
    "        )\n",
    "    \n",
    "    if noise > 0:\n",
    "        y += np.random.normal(scale=noise, size=X.shape[0])\n",
    "    \n",
    "    if add_trend:\n",
    "        return X, y, trend\n",
    "    else:\n",
    "        return X, y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "JGkk6tgl1jc7"
   },
   "outputs": [],
   "source": [
    "### GENERATE DATA ###\n",
    "\n",
    "feature_names = [\n",
    "   'linear_1',\n",
    "   'linear_2',           \n",
    "   'notlinear_square',  \n",
    "   'notlinear_cos',    \n",
    "   'interaction_1',    \n",
    "   'interaction_2',    \n",
    "   'interaction_3',    \n",
    "   'noise_1',          \n",
    "   'noise_2',         \n",
    "   'noise_3',         \n",
    "   'noise_4',         \n",
    "   'noise_5'\n",
    "]\n",
    "\n",
    "np.random.seed(33)\n",
    "X = pd.DataFrame(np.random.normal(size=(8_000, len(feature_names))), columns=feature_names)\n",
    "X, y = create_target(X, noise=2, add_trend=False)\n",
    "X_trend, y_trend, trend = create_target(X, noise=2, add_trend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 404
    },
    "id": "Ft1B9hvZ9C9S",
    "outputId": "2298f442-da07-4a48-edf6-619b387624d4"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT SIMULATED DATA ###\n",
    "\n",
    "plt.figure(figsize=(24,6))\n",
    "\n",
    "plt.subplot(131)\n",
    "X.plot(ax=plt.gca()) \n",
    "plt.ylabel('X'); plt.xlabel('time'); plt.title('original features')\n",
    "\n",
    "plt.subplot(132)\n",
    "trend.plot(ax=plt.gca())\n",
    "plt.ylabel('trend'); plt.xlabel('time'); plt.title('feature trends')\n",
    "\n",
    "plt.subplot(133)\n",
    "X_trend.plot(ax=plt.gca())\n",
    "plt.ylabel('X'); plt.xlabel('time'); plt.title('original features plus trend')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "HAgaifKai8aI"
   },
   "outputs": [],
   "source": [
    "test_size = [0.6, 0.5, 0.4, 0.3]\n",
    "\n",
    "results_without_trend = {}\n",
    "results_with_trend = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vZzGiINNtG3e",
    "outputId": "14f3966a-8c9f-45d5-99d1-f2b89c8fba3d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- 0.6 test size ----\n",
      "BEST PARAMS: {'max_depth': 10, 'n_estimators': 200}\n",
      "TEST ERROR: 4.851329725249528\n",
      "---- 0.5 test size ----\n",
      "BEST PARAMS: {'max_depth': 10, 'n_estimators': 200}\n",
      "TEST ERROR: 4.793690090228054\n",
      "---- 0.4 test size ----\n",
      "BEST PARAMS: {'max_depth': 10, 'n_estimators': 200}\n",
      "TEST ERROR: 4.758825829507583\n",
      "---- 0.3 test size ----\n",
      "BEST PARAMS: {'max_depth': 10, 'n_estimators': 200}\n",
      "TEST ERROR: 4.576642768849584\n"
     ]
    }
   ],
   "source": [
    "### FITTING RANDOM FOREST W/O TREND ###\n",
    "\n",
    "results_without_trend['RandomForest'] = {}\n",
    "\n",
    "for i in test_size:\n",
    "\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, shuffle=False, test_size=i)\n",
    "\n",
    "    model = GridSearchCV(\n",
    "      RandomForestRegressor(random_state=33),\n",
    "      param_grid={\n",
    "          'n_estimators': [50,100,200],\n",
    "          'max_depth': [5,10,None]\n",
    "          },\n",
    "      n_jobs=-1, cv=3,\n",
    "      scoring='neg_mean_squared_error'\n",
    "    )\n",
    "    model.fit(X_train, y_train)\n",
    "\n",
    "    test_error = mean_squared_error(y_test, model.predict(X_test))\n",
    "    results_without_trend['RandomForest'][i] = test_error\n",
    "\n",
    "    print(f'---- {i} test size ----')\n",
    "    print('BEST PARAMS:', model.best_params_)\n",
    "    print('TEST ERROR:', test_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "H9TtUzgo7tiw",
    "outputId": "06d9fe53-684e-45d3-8808-56f0e73dc9d5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- 0.6 test size ----\n",
      "BEST PARAMS: {'alpha': 1}\n",
      "TEST ERROR: 4.862267130020254\n",
      "---- 0.5 test size ----\n",
      "BEST PARAMS: {'alpha': 10}\n",
      "TEST ERROR: 4.849858944816968\n",
      "---- 0.4 test size ----\n",
      "BEST PARAMS: {'alpha': 1}\n",
      "TEST ERROR: 4.774389071540253\n",
      "---- 0.3 test size ----\n",
      "BEST PARAMS: {'alpha': 7}\n",
      "TEST ERROR: 4.636215639383172\n"
     ]
    }
   ],
   "source": [
    "### FITTING LINEAR REGRESSION W/O TREND ###\n",
    "\n",
    "results_without_trend['LinearRegression'] = {}\n",
    "\n",
    "for i in test_size:\n",
    "\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, shuffle=False, test_size=i)\n",
    "\n",
    "    model = GridSearchCV(\n",
    "      Ridge(),\n",
    "      param_grid={\n",
    "          'alpha': [1,3,5,7,10],\n",
    "          },\n",
    "      n_jobs=-1, cv=3,\n",
    "      scoring='neg_mean_squared_error'\n",
    "    )\n",
    "    model.fit(X_train, y_train)\n",
    "\n",
    "    test_error = mean_squared_error(y_test, model.predict(X_test))\n",
    "    results_without_trend['LinearRegression'][i] = test_error\n",
    "\n",
    "    print(f'---- {i} test size ----')\n",
    "    print('BEST PARAMS:', model.best_params_)\n",
    "    print('TEST ERROR:', test_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "WVjhcfsn2DCC",
    "outputId": "67d6805b-a77f-4a63-aafb-c3b648a29ef6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- 0.6 test size ----\n",
      "BEST PARAMS: {'max_depth': 5, 'n_estimators': 200}\n",
      "TEST ERROR: 4.323217786744445\n",
      "---- 0.5 test size ----\n",
      "BEST PARAMS: {'max_depth': 5, 'n_estimators': 200}\n",
      "TEST ERROR: 4.319381508499697\n",
      "---- 0.4 test size ----\n",
      "BEST PARAMS: {'max_depth': 5, 'n_estimators': 100}\n",
      "TEST ERROR: 4.274594977210845\n",
      "---- 0.3 test size ----\n",
      "BEST PARAMS: {'max_depth': 5, 'n_estimators': 100}\n",
      "TEST ERROR: 4.215636891208974\n"
     ]
    }
   ],
   "source": [
    "### FITTING LINEAR FOREST W/O TREND ###\n",
    "\n",
    "results_without_trend['LinearForest'] = {}\n",
    "\n",
    "for i in test_size:\n",
    "\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, shuffle=False, test_size=i)\n",
    "\n",
    "    model = GridSearchCV(\n",
    "      LinearForestRegressor(Ridge()),\n",
    "      param_grid={\n",
    "          'n_estimators': [50,100,200],\n",
    "          'max_depth': [5,10,None]\n",
    "          },\n",
    "      n_jobs=-1, cv=3,\n",
    "      scoring='neg_mean_squared_error'\n",
    "    )\n",
    "    model.fit(X_train, y_train)\n",
    "\n",
    "    test_error = mean_squared_error(y_test, model.predict(X_test))\n",
    "    results_without_trend['LinearForest'][i] = test_error\n",
    "\n",
    "    print(f'---- {i} test size ----')\n",
    "    print('BEST PARAMS:', model.best_params_)\n",
    "    print('TEST ERROR:', test_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "YCfC_-uEpTGF",
    "outputId": "4ec65bc3-e4aa-48ed-9814-3d983b738ed2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- 0.6 test size ----\n",
      "BEST PARAMS: {'max_depth': 10, 'n_estimators': 200}\n",
      "TEST ERROR: 7.854666984203331\n",
      "---- 0.5 test size ----\n",
      "BEST PARAMS: {'max_depth': 10, 'n_estimators': 200}\n",
      "TEST ERROR: 7.7613937545517455\n",
      "---- 0.4 test size ----\n",
      "BEST PARAMS: {'max_depth': 10, 'n_estimators': 200}\n",
      "TEST ERROR: 7.546342823941518\n",
      "---- 0.3 test size ----\n",
      "BEST PARAMS: {'max_depth': 10, 'n_estimators': 200}\n",
      "TEST ERROR: 7.69495653176793\n"
     ]
    }
   ],
   "source": [
    "### FITTING RANDOM FOREST W/ TREND ###\n",
    "\n",
    "results_with_trend['RandomForest'] = {}\n",
    "\n",
    "for i in test_size:\n",
    "\n",
    "    results_with_trend['RandomForest']\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X_trend, y_trend, shuffle=False, test_size=i)\n",
    "\n",
    "    model = GridSearchCV(\n",
    "      RandomForestRegressor(random_state=33),\n",
    "      param_grid={\n",
    "          'n_estimators': [50,100,200],\n",
    "          'max_depth': [5,10,None]\n",
    "          },\n",
    "      n_jobs=-1, cv=3,\n",
    "      scoring='neg_mean_squared_error'\n",
    "    )\n",
    "    model.fit(X_train, y_train)\n",
    "\n",
    "    test_error = mean_squared_error(y_test, model.predict(X_test))\n",
    "    results_with_trend['RandomForest'][i] = test_error\n",
    "\n",
    "    print(f'---- {i} test size ----')\n",
    "    print('BEST PARAMS:', model.best_params_)\n",
    "    print('TEST ERROR:', test_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Zt1vlr-f7V5M",
    "outputId": "663e9729-f375-4500-b178-bd6643b9337e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- 0.6 test size ----\n",
      "BEST PARAMS: {'alpha': 10}\n",
      "TEST ERROR: 6.908459517368453\n",
      "---- 0.5 test size ----\n",
      "BEST PARAMS: {'alpha': 3}\n",
      "TEST ERROR: 7.071218773824192\n",
      "---- 0.4 test size ----\n",
      "BEST PARAMS: {'alpha': 3}\n",
      "TEST ERROR: 7.264288640669238\n",
      "---- 0.3 test size ----\n",
      "BEST PARAMS: {'alpha': 1}\n",
      "TEST ERROR: 7.3534751420758315\n"
     ]
    }
   ],
   "source": [
    "### FITTING LINEAR REGRESSION W/ TREND ###\n",
    "\n",
    "results_with_trend['LinearRegression'] = {}\n",
    "\n",
    "for i in test_size:\n",
    "\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X_trend, y_trend, shuffle=False, test_size=i)\n",
    "\n",
    "    model = GridSearchCV(\n",
    "      Ridge(),\n",
    "      param_grid={\n",
    "          'alpha': [1,3,5,7,10],\n",
    "          },\n",
    "      n_jobs=-1, cv=3,\n",
    "      scoring='neg_mean_squared_error'\n",
    "    )\n",
    "    model.fit(X_train, y_train)\n",
    "\n",
    "    test_error = mean_squared_error(y_test, model.predict(X_test))\n",
    "    results_with_trend['LinearRegression'][i] = test_error\n",
    "\n",
    "    print(f'---- {i} test size ----')\n",
    "    print('BEST PARAMS:', model.best_params_)\n",
    "    print('TEST ERROR:', test_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "h5R8z1IbrheX",
    "outputId": "d0c7a4ae-f14f-4445-a94e-7aa9070bb3d1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- 0.6 test size ----\n",
      "BEST PARAMS: {'max_depth': 5, 'n_estimators': 100}\n",
      "TEST ERROR: 5.664596715053012\n",
      "---- 0.5 test size ----\n",
      "BEST PARAMS: {'max_depth': 5, 'n_estimators': 50}\n",
      "TEST ERROR: 5.909603391520009\n",
      "---- 0.4 test size ----\n",
      "BEST PARAMS: {'max_depth': 5, 'n_estimators': 200}\n",
      "TEST ERROR: 5.9466913521014\n",
      "---- 0.3 test size ----\n",
      "BEST PARAMS: {'max_depth': 5, 'n_estimators': 200}\n",
      "TEST ERROR: 5.8955668861978\n"
     ]
    }
   ],
   "source": [
    "### FITTING LINEAR FOREST W/ TREND ###\n",
    "\n",
    "results_with_trend['LinearForest'] = {}\n",
    "\n",
    "for i in test_size:\n",
    "\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X_trend, y_trend, shuffle=False, test_size=i)\n",
    "\n",
    "    model = GridSearchCV(\n",
    "      LinearForestRegressor(Ridge()),\n",
    "      param_grid={\n",
    "          'n_estimators': [50,100,200],\n",
    "          'max_depth': [5,10,None]\n",
    "          },\n",
    "      n_jobs=-1, cv=3,\n",
    "      scoring='neg_mean_squared_error'\n",
    "    )\n",
    "    model.fit(X_train, y_train)\n",
    "\n",
    "    test_error = mean_squared_error(y_test, model.predict(X_test))\n",
    "    results_with_trend['LinearForest'][i] = test_error\n",
    "\n",
    "    print(f'---- {i} test size ----')\n",
    "    print('BEST PARAMS:', model.best_params_)\n",
    "    print('TEST ERROR:', test_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "id": "n7Ax7LCD1GeV",
    "outputId": "7848e8b5-d883-493d-bbca-2fb7e61adc44"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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miYjI3Llz5YEHHjD3X7XOZ599JoDk5ubW+Hoay4XvaRERIE0u8p2vZ1KUUqoVyPm55n4O+SX1G8m0pKSE0NBQOnfuzPHjxxkyZAgABQUFJCQkEBgYyJNPPsnOnTvNbeLi4vDw8MDFxYVevXqRlZXFpk2biI2NxdPTEycnJ0aNGmWuv2HDBv7nf/4HgHvvvZdvv/3WXDZixAgMwyAoKIjrr7+eoKAg7OzsCAgIsJmYr+pyz6ZNmy5ZZ0JCAvb29hQWFrJ+/XoSEhIIDQ3lj3/8I8eOHQOskxWOHTuWBQsW1OnSSlRUFCkpKaSmphIfH09hYSHFxcUcOnSInj17ApCamsott9zCnj178Pf3p0ePHgCMGTOGlJSUOv17VB23jRs3smvXLiIjIwkNDeXf//63zWSNI0eOBCA8PNw8TikpKfz+978HrGd+OnToUKd9NqVGG3HWMIy3gDuAEyISWMPyRGAyYACngYdEZNuF6ymllLJaO3btRZf5eviSVVB9RmE/Dz8AOrl1qnX7i6nqk1JcXMywYcOYO3cujz32GM899xyDBg3iww8/JDMz07yMAeDs7Gz+bm9vf9l9P85XVZednZ1NvXZ2dldcr7u7OwCVlZW0b9++xvl95s2bx6ZNm/j8888JDw8nPT291jr79u1LWloaXbt2ZciQIeTl5bFgwQLCw8MBOHjwID4+Pjg5OV1Rmy9su4gwZMgQli5dWuN6Vceqvse/qTXmmZTFwPBalh8CYkQkCPgb8EYjtkUppVq1GXEzcHN0sylzc3RjRtyMBqnfzc2NWbNm8c9//pPy8nIKCgq48cYbAWs/lEvp378/33zzDfn5+ZSVlZGcnGwuGzhwIMuWLQMgKSmJqKioere3LnW2a9cOf39/sy0iwrZt1r+VDxw4QP/+/Zk+fTqenp4cPnyYtm3bcvr06Rr35+TkhI+PD8nJyURERBAVFcXMmTOJjo4G4Msvv2T4cOtXYs+ePcnMzGT//v0ALFmyhJiYmGp11ra/AQMGkJqaatZRVFTE3r17az0m0dHRvPvuu2Z7Tp48Wev6zUGjhRQRSQF+qmX5ehGpOkIbgbp1d1ZKKVVNYlAib4x4Az8PPwwM/Dz8eGPEGyQGJTbYPnr37k1wcDBLly5l0qRJPP300/Tu3btOf6l36dKF559/noiICCIjI21mwp09ezaLFi0iODiYJUuW8Nprr9W7rXWtMykpiYULFxISEkJAQAAff/wxABMnTiQoKIjAwEAGDhxISEgIgwYNYteuXTV2nAXrJR8vLy9cXV2JiooiJyfHDEcrVqwwQ4qLiwuLFi0iISHBvHz14IMPVquvqpNvVcfZ83l6erJ48WJGjx5NcHAwERERZgfZi5k6dSopKSkEBASwfPlyfH19L30gm5ghjdi71zAMC/BZTZd7Lljvf4GbRKTGGZYMw5gATADw9fUNP/+6m1JKtVY1TWuvWp4zZ84QGRlJWlpaUzelydX0njYMI11E+tS0fpN3nDUMYxDwANb+KTUSkTdEpI+I9PH09Lx6jVNKKaXqydnZWQPKFWq0jrN1YRhGMPAmcJuI1K8LulJKKaValSY7k2IYhi+wHLhXRGrv7aOUUkqpa05j3oK8FIgFOhmGkQNMBRwBRGQeMAXoCPzLMAyA8otdk1JKKaXUtafRQoqIjL7E8vFAjR1llVJKKaWavOOsUkoppVRNNKQopZS6qDZt2lQrmzdvHm+//Xaj79tisRAUFERoaCihoaGsX7++UfZT39mNAW677TZycmqemuBCtc1u3BAsFgt5eXmNVv/V1KR39yillGpAh5Jg27NQnA1uvhAyA/wbbjC3KjUNPNaQqiaXA+ucPJ06dbqs7cvLy3FwqPvXW0ZGBmlpadx+++2XtZ8qJSUl5Ofn4+1dtzFJFy9eTGBgIDfccEO1ZRUVFdjb219RO1ojPZOilFKtwaEk2DwBirMAsf7cPMFa3sCef/55Zs6cCUBsbCyTJ0+mX79+9OjRg3Xr1gHWL9uJEyfSt29fgoODmT9/PgCFhYXExcURFhZGUFCQOcJrZmYmPXv25L777iMwMJDDhw/XuO/MzEwGDx5McHAwcXFxZGdnA7+Mztq/f38mTZrEgQMHGD58OOHh4URFRZmjsSYnJxMYGEhISAjR0dGcPXuWKVOm8N5779U4kmx8fDzbt28HrCPuTp8+HYApU6awYMECANauXWvOXbR69Wp69+5NUFAQ48aN48yZMzb1vf/++6SlpZGYmGiOJGuxWJg8eTJhYWEkJyezcuVKIiIiCAsLIyEhgcLCQsB6hmTq1Knmsat6Tfn5+QwdOpSAgADGjx9PYw7SetVdbHrk5voIDw+v64zQSinVolWb1n5VTPXHnrnWZR/6iCRR/ZHc0bq8JLf6tnXg7u5erWzq1Kny0ksviYhITEyM/PnPfxYRkc8//1zi4uJERGT+/Pnyt7/9TURESktLJTw8XA4ePChlZWVSUFAgIiK5ubnSrVs3qayslEOHDolhGLJhwwZzP35+fhIYGCghISHSr18/ERG54447ZPHixSIisnDhQrnrrrtERGTMmDESHx8v5eXlIiIyePBg2bt3r4iIbNy4UQYNGiQiIoGBgZKTkyMiIidPnhQRkUWLFskjjzxS4+t/4YUXZM6cOXLq1Cnp06ePDB06VEREYmNjZffu3SIi8uijj8rq1aulpKREvL29Zc+ePSIicu+998orr7xSrc6YmBj57rvvbF7niy++aB6TqKgoKSwsFBGRf/zjHzJt2jRzvVmzZomIyNy5c+WBBx4w91+1zmeffSaA5Obm1vh6mlq197SIAGlyke98vdyjlFKtQfFF+kOcbfxxMkeOHAlAeHg4mZmZAKxcuZLt27fz/vvvA1BQUMC+ffvw9vbmmWeeISUlBTs7O44cOcLx48cB8PPzY8CAATZ1X3i5Z8OGDSxfvhyAe++9l0mTJpnLEhISsLe3p7CwkPXr15OQkGAuqzqjERkZydixY/ntb39rtrs2UVFRzJo1C39/f+Lj41m1ahXFxcUcOnSInj17ApCamsrMmTP54Ycf8Pf3p0ePHgCMGTOGuXPn8sQTT1xyP6NGjQJg48aN7Nq1i8jISADOnj1LRESEud75x7rqOKSkpJi/x8fH06FDh0vur6XQkKKUUi3FrWsvvszN99ylngvL/aw/XTrVvn09ODs7A2Bvb29ONigizJ49m2HDhtmsu3jxYnJzc0lPT8fR0RGLxUJpaSkA7u7u9WpH1faVlZW0b9+ejIyMauvMmzePTZs28fnnnxMeHk56enqtdfbt25e0tDS6du3KkCFDyMvLY8GCBYSHhwNw8OBBfHx8cHJyapC2iwhDhgxh6dKlNa5X07FuzbRPilJKtQYhM8DezbbM3s1a3gSGDRvG66+/TllZGQB79+6lqKiIgoICvLy8cHR0ZM2aNVzuhLEDBw5k2bJlgHUG46pZhs/Xrl07/P39SU5OBqxf/Nu2bQPgwIED9O/fn+nTp+Pp6cnhw4dp27Ytp0+frnF/Tk5O+Pj4kJycTEREBFFRUcycOZPo6GgAvvzyS3N24549e5KZmcn+/fsBWLJkCTExMdXqrG1/AwYMIDU11ayjqKiIvXtrH5Q9Ojqad99912zPyZMna12/JdGQopRSrYF/IvR749yZE8P6s98b9b67p7i4GG9vb/Px8ssv12m78ePH06tXL8LCwggMDOSPf/wj5eXlJCYmkpaWRlBQEG+//TY33XTTZbVn9uzZLFq0iODgYJYsWcJrr71W43pJSUksXLiQkJAQAgICzA66EydOJCgoiMDAQAYOHEhISAiDBg1i165dNXacBeslHy8vL1xdXYmKiiInJ8cMRytWrDBDiouLC4sWLSIhIYGgoCDs7OxqvBOqqpNvVcfZ83l6erJ48WJGjx5NcHAwERERZgfZi5k6dSopKSkEBASwfPlyfH19L30gWwhDWlgv4D59+ojOJqmUuhbUNK29aj7OnDlDZGSkznB8GWp6TxuGkS4XmRZHz6QopZRSV8DZ2VkDSiPTkKKUUkqpZklDilJKKaWaJQ0pSimllGqWNKQopZRSqlnSkKKUUkqpZklDilJKqYuyt7cnNDSUwMBARowYwalTpxqk3sWLF/OnP/2pQeqyWCwEBQURGhpKaGgo69evb5B6L5SRkcEXX3xRrzpuu+02cnJspzBYvHgxR48erVe9tbFYLOTl5TVa/Y1JQ4pSSrUSSd8nYXnVgt00OyyvWkj6vv4zILu6upKRkcGOHTu47rrrmDt3bgO0tOGtWbOGjIwMMjIyGDhwYJ22udxh5esbUkpKSsjPz8fb29umvLaQUlFRccX7aw00pCilVCuQ9H0SEz6dQFZBFoKQVZDFhE8nNEhQqRIREcGRI0cA2Lx5MxEREfTu3ZuBAweyZ88ewPqFO3LkSIYPH0737t1tJgBctGgRPXr0oF+/fqSmpprlmZmZDB48mODgYOLi4sjOzgasI7M+9NBDDBgwgK5du7J27VrGjRvHzTffzNixY2tta211Pvjgg/Tv359JkyZx4MABhg8fTnh4OFFRUeborsnJyQQGBhISEkJ0dDRnz55lypQpvPfeezWOTBsfH8/27dsB6N27N9OnTwdgypQpLFiwAIC1a9cSGxtrs937779PWloaiYmJ5gi0FouFyZMnExYWRnJyMitXriQiIoKwsDASEhIoLCwErGdIpk6dSlhYGEFBQWbb8/PzGTp0KAEBAYwfP56WNmjr+XSCQaWUagGeWPEEGT9WnzCvysacjZypOGNTVlxWzAMfP8CC9AU1bhPaOZRXh79ap/1XVFSwevVqHnjgAQBuuukm1q1bh4ODA1999RXPPPMMH3zwAWA947B161acnZ3p2bMnjz76KA4ODkydOpX09HQ8PDwYNGgQvXv3BuDRRx9lzJgxjBkzhrfeeovHHnuMjz76CICTJ0+yYcMGPvnkE+68805SU1N588036du3LxkZGYSGhgIwaNAg7O3tcXZ2ZtOmTbXWmZOTw/r167G3tycuLo558+bRvXt3Nm3axMMPP8zXX3/N9OnT+e9//8uNN97IqVOncHJyYvr06aSlpTFnzpxqxycqKop169bh5+eHg4ODGcLWrVvHvHnzAOu8OnfffbfNdvfccw9z5sxh5syZ9Onzy6CrHTt2ZMuWLeTl5TFy5Ei++uor3N3defHFF3n55ZeZMmUKAJ06dWLLli3861//YubMmbz55ptMmzaNW265hSlTpvD555+zcOHCOv0bN0caUpRSqhW4MKBcqryuSkpKCA0N5ciRI9x8880MGTIEgIKCAsaMGcO+ffswDMOcSBAgLi4ODw8PAHr16kVWVhZ5eXnExsbi6ekJwKhRo8yJ8zZs2MDy5csBuPfee23OvowYMQLDMAgKCuL6668nKCgIgICAADIzM82QsmbNGjp16mRuV1udCQkJ2NvbU1hYyPr160lISPjleJ2xHq/IyEjGjh3Lb3/7W0aOHHnJ4xQVFcWsWbPw9/cnPj6eVatWUVxczKFDh+jZsycAqampzJw589IH/dzxAdi4cSO7du0iMjISgLNnzxIREWGuV9W28PBw8/WmpKSYv8fHx9OhQ4c67bM50pCilFItwKXOeFhetZBVUH1GYT8PP9aOXXvF+63qk1JcXMywYcOYO3cujz32GM899xyDBg3iww8/JDMz0+YyhrOzs/m7vb39Zff9OF9VXXZ2djb12tnZXXG97u7uAFRWVtK+fXsyMqqfoZo3bx6bNm3i888/Jzw8nPT09Frr7Nu3L2lpaXTt2pUhQ4aQl5fHggULCA8PB+DgwYP4+Pjg5OR0WW0UEYYMGcLSpUtrXK/qmNT3ODdX2idFKaVagRlxM3BzdLMpc3N0Y0bcjAap383NjVmzZvHPf/6T8vJyCgoKuPHGGwFrP5RL6d+/P9988w35+fmUlZWRnJxsLhs4cCDLli0DrLMXV80wXB91qbNdu3b4+/ubbRERtm3bBsCBAwfo378/06dPx9PTk8OHD9O2bVtOnz5d4/6cnJzw8fEhOTmZiIgIoqKimDlzJtHR0YD1Uk/VbMkXqq3eAQMGkJqayv79+wEoKioyz0BdTHR0NO+++66535MnT9a6fg+PQcYAACAASURBVHOmIUUppVqBxKBE3hjxBn4efhgY+Hn48caIN0gMSmywffTu3Zvg4GCWLl3KpEmTePrpp+ndu3ed/oLv0qULzz//PBEREURGRtrMhDt79mwWLVpEcHAwS5Ys4bXXXqt3W+taZ1JSEgsXLiQkJISAgAA+/vhjACZOnEhQUBCBgYEMHDiQkJAQBg0axK5du2rsOAvWSz5eXl64uroSFRVFTk6OGY5WrFhx0ZBS1Zm3quPs+Tw9PVm8eDGjR48mODiYiIgIs4PsxUydOpWUlBQCAgJYvnw5vr6+lzxezZXR0nr99unTR3TWSaXUtaCmae1Vy3PmzBkiIyN1xmRqfk8bhpEuIn1qWl/PpCillFKNyNnZWQPKFdKQopRSSqlmSUOKUkoppZolDSlKKaWUapY0pCillFKqWdKQopRSSqlmSUOKUkqpi2rTpk21snnz5vH22283+r4tFgtBQUGEhoYSGhrK+vXrG2U/9Z3dGOC2224jJyfHpqy22Y0bgsViIS8vr9Hqbw40pNA405srpdRVdygJPrLAu3bWn4ca57PswQcf5L777muUusE68mtlZSVgnZMnIyODjIwMBg4cWKftL3d4+PqGlJKSEvLz8/H29rYpry2kVFRUXPH+riXXfEi5GtObK6VUozuUBJsnQHEWINafmyc0SlB5/vnnzYnyYmNjmTx5Mv369aNHjx6sW7cOsH4JT5w4kb59+xIcHMz8+fMBKCwsJC4ujrCwMIKCgswRXjMzM+nZsyf33XcfgYGBHD58uMZ9Z2ZmMnjwYIKDg4mLiyM7Oxv4ZdTW/v37M2nSJA4cOMDw4cMJDw8nKirKHKU1OTmZwMBAQkJCiI6O5uzZs0yZMoX33nuvxpFk4+Pj2b59O2AdcXf69OkATJkyhQULrLNLr1271mbuIoD333+ftLQ0EhMTzZFkLRYLkydPJiwsjOTkZFauXElERARhYWEkJCRQWFgIWM+QTJ061TxGVW3Pz89n6NChBAQEMH78eFraYKxX4pqfYPDZ1c9SXFZsU1ZcVsyzq59t0OGklVKqXtKfgJPVJ8Iz5W2EygtmPK4ohk0PwIEFNW/TIRTCa5+4sC7Ky8vZvHkzX3zxBdOmTeOrr75i4cKFeHh48N1335kjrg4dOhQfHx8+/PBD2rVrR15eHgMGDODOO+8EYN++ffz73/9mwIABZt2DBg3C3t4eZ2dnNm3axKOPPsqYMWMYM2YMb731Fo899hgfffQRADk5Oaxfvx57e3vi4uKYN28e3bt3Z9OmTTz88MN8/fXXTJ8+nf/+97/ceOONnDp1CicnJ6ZPn05aWhpz5syp9tqioqJYt24dfn5+ODg4kJqaCsC6deuYN28eYJ0f5+6777bZ7p577mHOnDnMnDmTPn1+GUy1Y8eObNmyhby8PEaOHMlXX32Fu7s7L774Ii+//DJTpkwBoFOnTmzZsoV//etfzJw5kzfffJNp06Zxyy23MGXKFD7//HMWLlxY73+75u6aDynZBdk1lmcVZHHfh/cR4BlAgFcAAZ4B+LX3w8645k8+KaWaowsDyqXKG9DIkSMBCA8PJzMzE4CVK1eyfft23n//fQAKCgrYt28f3t7ePPPMM6SkpGBnZ8eRI0c4fvw4AH5+fjYBBayXezp16mQ+37BhA8uXLwfg3nvvZdKkSeayhIQE7O3tKSwsZP369SQkJJjLzpyxHofIyEjGjh3Lb3/7W7PdtYmKimLWrFn4+/sTHx/PqlWrKC4u5tChQ/Ts2ROA1NRU88zSpYwaNQqAjRs3smvXLiIjIwE4e/YsERER5nrnH9Oq15uSkmL+Hh8fT4cOHeq0z5bsmg8pvh6+NU5v7uLgwteHvmbJ9iVmmbujO708e5mhJcAzgECvQLzbeWMYxtVstlLqWnOpMx4fWc5d6rmAmx/curYxWmRydnYGwN7e3uwPIiLMnj2bYcOG2ay7ePFicnNzSU9Px9HREYvFQmlpKQDu7u71akfV9pWVlbRv356MjOpnnubNm8emTZv4/PPPCQ8PJz09vdY6+/btS1paGl27dmXIkCHk5eWxYMECwsPDATh48CA+Pj44OTldVhtFhCFDhrB06dIa16vpmF6LrvnTAheb3vzNO98k5885nJx8km/v/5b5d8zngd4P0M65HV/u+5KJqyZy+7u34/uqL+1fbE/EwgjGfzKeVza8wqoDqzh6+ug1cb1QKdVMhMwAe9vPMuzdrOVNYNiwYbz++uuUlZUBsHfvXoqKiigoKMDLywtHR0fWrFlDVlYNwaoWAwcOZNmyZYB1BuOqWYbP165dO/z9/UlOTgasgWDbtm0AHDhwgP79+zN9+nQ8PT05fPgwbdu25fTp0zXuz8nJCR8fH5KTk4mIiCAqKoqZM2cSHR0NWC/1XGx249rqHTBgAKmpqezfvx+AoqIi9u7dW+trj46O5t133zX3e/LkyVrXbw2u+TMpVf1Onl39LNkF2fh6+DIjboZZ3t6lPZG+kUT6Rtpsl1+cz87cnew8sdP6M3cnH+/5mIVbf7lG2N6lvXnGJcDLetYlwDMAL3cvPfOilGpY/uf60G17Foqzwc3XGlD869e3rri42OaulT//+c912m78+PFkZmYSFhaGiODp6clHH31EYmIiI0aMICgoiD59+nDTTTddVntmz57N/fffz0svvYSnpyeLFi2qcb2kpCQeeugh/v73v1NWVsbvfvc7QkJCmDhxIvv27UNEiIuLIyQkBF9fX/7xj38QGhrK008/bV6SqRIVFcXq1atxdXUlKiqKnJwcMxytWLGC2bNn19iGqs68rq6ubNiwwWaZp6cnixcvZvTo0ealqL///e/06NHjoq996tSpjB49moCAAAYOHIivr2+dj1tLZbS0v/b79OkjzXk2yRNFJ34JLid2siN3BztP7ORk6S+Jt6NrR/OSUVVwCfAKoJNbp1pqVkpda2qa1l41H1Udgpvzd1JzU9N72jCMdBHpU9P61/yZlIbm5e6Fl78Xg/wHmWUiwo+FP/4SXE7sYGfuTpK+T+LnMz/bbHthcAnwDKCDa+vvHKWUUi2Ns7OzBpRGpiHlKjAMgy5tu9ClbRdu7XqrWS4iHDl9xDzzUhVeFmUsovBsoblelzZdrJeLPAN/6bTrFUA753ZN8XKUUkqpq0JDShMyDAPvdt54t/Nm2K9+6QFfKZUcLjhsE1x2ntjJ/PT5lJSXmOt5t/P+5azLueDSy7MXbZyqD2OtlFJKtTQaUpohO8MOv/Z++LX34/but5vllVJJ5qlMa3A5r8PumkNrOFPxy1gIlvYWm+AS4BnAzZ43V7uLSSnV/ImIdrRXrcKV9IHVkNKC2Bl2dO3Qla4dunJnzzvN8orKCg6cPGATXHae2MnKAyspq7Te/mdg0LVD12pjvPTs1BMXB5emeklKqVq4uLiQn59Px44dNaioFk1EyM/Px8Xl8r5v9O6eVqysooz9P+2vdqv03vy9lFdaBweyM+z41XW/sgkuAV4B9OjYAyf7ug1OpJRqHGVlZeTk5JiDnSnVkrm4uODt7Y2jo6NNeW1392hIuQadrTjL3vy91c687PtpH5VinXnUwc6B7td1r3ar9K+u+xWO9o6X2INSSilVN3oLsrLhZO9EoFcggV6BNuWl5aXsydtjc+Zl67GtfLDrAwRrmHW0c6Rnp57VbpXu1qEb9nb2TfFylFJKtVIaUpTJxcGFkM4hhHQOsSkvLitmd95um1ulNx3ZxHs7f5nS3NnemZs63VRtjBf/Dv46KaNSSqkropd71BUrPFvID7k/VLtV+vDPh811XB1cq03KGOAVgK+Hr4YXpZRS2idFXV0/n/mZXbm7bEbX3Zm7k6Onj5rruDu6VwsuAZ4BOqO0UkpdYzSkqGbhZMlJduXusgkuO0/s5HjRcXOdds7tqgWXAK8AurTpouFFKaVaIQ0pqlnLK86zmZSx6vJRfkm+uU4Hlw7VzrwEegXi5e7VhC1XSilVXxpSVIsjItYZpS8Y4+XCGaU7uXWqFlwCPAPo6NaxCVuvlFKqrvQWZNXiGIbB9W2u5/o21zPYf7BZLiIcKzxW7czLku1LOH32tLne9e7XVxvjJcArgPYu7Zvi5SillLoCeiZFtQoiQs7POTWeeSkqKzLXu6HtDdWCSy/PXjqjtFJKNZEmudxjGMZbwB3ACREJrGH5TcAiIAx4VkRm1qVeDSnqclRKJdkF2TbBZceJHfyQ+4PNjNI+7XyqjfHSy7MX7k7uTdh6pZRq/ZoqpEQDhcDbFwkpXoAfcDdwUkOKupoqKivIPJVpnm3ZkWudWXp33u5qM0qb4eVcgLm50824Oro2YeuVUqr1aJI+KSKSYhiGpZblJ4AThmHEN1YblLoYezt7ul3XjW7XdbOZUbq8spyDJw/a3GW0M3cn/93/X5sZpbtd163ardI3dboJZwfnavtK+j6JZ1c/S3ZBNr4evsyIm0FiUOJVe61KKdVStYiOs4ZhTAAmAPj6+jZxa1Rr5mDnQI+OPejRsQe/vvnXZvn5M0qfP7ruZ3s/o0IqALA37K0zSp93q3TmqUymp0ynuKwYgKyCLCZ8OgFAg4pSSl1Co3acPXcm5bOaLvect87zQKFe7lEt0fkzSp8/SN3+n/abM0rXxNfDl6wnsq5iS5VSqnnSW5CVaiTnzyg9ilFmedWM0qHzQ2vcLrsgm8TliQyyDCLWEku3Dt10RF2llLqAhhSlGkHVjNJ+Hn5kFVQ/Y+Lm6Mbqg6t59/t3AfBu502sJdYMLf7t/TW0KKWueY0WUgzDWArEAp0Mw8gBpgKOACIyzzCMzkAa0A6oNAzjCaCXiPzcWG1S6mqbETeDCZ9OMPukgDWgvDHiDf4n8H/Yk7+HNYfWsDZrLSsPrOSd7e8A1stB54cWS3tLE70CpZRqOjqYm1KNrK5394gIP+T9YIaWtZlrySvOA6y3Qp8fWnw9tAO5Uqp10Ll7lGqBKqWSXbm7bELLTyU/AdC1Q1di/WIZ5G8NLd7tvJu4tUopdWU0pCjVClRKJTtO7DBDyzeZ35iTLf7qul/ZhJYb2t7QxK1VSqm60ZCiVCtUKZVsP77dJrQUnCkAoEfHHmZoifGLoUvbLk3cWqWUqpmGFKWuARWVFWw7vs0MLSlZKfx8xtoP/aZON9mEluvbXN/ErVVKKSsNKUpdg8ory8n4McMMLeuy1nH67GkAenn2sgktnu6eTdxapdS1SkOKUoryynK2HNtiE1qKyooACPQKNENLtF80ndw6NXFrlVLXigYJKYZhdABuAEqATJFaxvxuRBpSlGoYZRVlpB9LN0PLt9nfmuO5BF8fbBNarnO9rolbq5Rqra44pBiG4QE8AowGnIBcwAW4HtgI/EtE1jR4i2uhIUWpxnG24ixpR9PM0JKanUpJeQkGBiGdQ8zQEuUbRQfXDk3dXKVUK1GfkLIKeBv4VEROXbAsHLgX+F5EFjZge2ulIUWpq+NM+Rm+O/qdGVrWH15PaXkpBga9u/S2CS0eLh5N3VylVAulfVKUUvVWWl7K5iObzdCy4fAGzlScwc6wI6xLmBlabvG9hXbO7Zq6uUqpFqLBQophGJ7A44ArME9E9jVME+tOQ4pSzUNpeSkbczaaoWVjzkbOVpzF3rAn/IZwM7RE+kTS1rltUzdXKdVMNWRIeRtYAAjwioj0bZgm1p2GFKWap+KyYpvQsilnE2WVZdgb9vS9sa9NaHF3cm/q5iqlmon69En5LzBDRFLOPV8GTMQaUr4QkeBGaG+tNKQo1TIUnS1iQ84GM7RsPrKZ8spyHOwc6HdjPzO0DPQZiJujW1M3VynVROp7d89fAe9zP+2AqVgv97wiIt82fHNrpyFFqZap8Gwh6w+vN0PLd0e+o0IqcLRzpL93fzO0RHhH4Oro2tTNVUpdJfW+3GMYRldgBnAU+NuFd/pcTRpSlGodTp85TerhVDO0pB1No1IqcbJ3YoD3ADO0DPAegIuDS1M3VynVSOpzJqUb8BBwFpgDdMN6RuVzYK6IVDR8c2unIUWp1unnMz/zbfa3ZmjZcmwLlVKJs70zET4RZmjpf2N/nB2cm7q5SqkGUp+Qshl4AnAH/iIicefK7wPGVD2/mjSkKHVtOFV6yia0bD22FUFwcXBhoM9AM7T0u7EfTvZOTd1cpdQVqk9I2QYMB9oAb4tIxHnLXEWkpKEbeykaUpS6Np0sOcm67HVmaNn24zYEwdXBlUjfSDO09Lmhj4YWpVqQ+oSUSODPWC/3/ENEtjVOE+tOQ4pSCuCnkp9IyUoxQ8v249sBcHN04xbfW8zQEt4lHEd7xyZurVLqYnTEWaVUq5dXnGcTWnac2AFAG6c2NqElrEsYDnYOTdxapVSV+pxJ+RSYD/xXRMouWNYVGIt1RuS3Gq65tdOQopSqixNFJ2xCy67cXQC0dWpLlF+UGVpCO4dqaFGqCdUnpHTGernnN8BP/DILsgU4AMwRkY8busG10ZCilLoSxwuP803WN2Zo2Z23G4B2zu2I9os2Q0vI9SHY29k3cWuVunY0yOUewzAsQBegBNgrIsUN1cDLoSFFKdUQjp0+ZhNa9ubvBaC9S3ub0BJ8fTB2hl0Tt1ap1kv7pCil1CUc+fmITWjZ/9N+ADq4dCDGEmOGlkCvQA0tSjUgDSlKKXWZDhcctgktB08eBKCja0eb0NLLs5eGFqXqQUOKUkrVU3ZBNmsz17Imcw1rM9eSeSoTgE5unYi1xJqh5eZON2MYRtM2VqkWREOKUko1sMxTmWZoWXNoDYd/PgyAl7uXTWjp2bGnhhbVoiV9n8Szq58luyAbXw9fZsTNIDEoscHqb4gJBiOB5wE/wAEwABGRrg3WyjrSkKKUam5EhEOnDtmEliOnjwDQuU1nm9DS/bruGlpUi5H0fRITPp1Acdkv98q4Obrxxog3GiyoNERI2Q08CaQD5qSCIpLfIC28DBpSlFLNnYhw4OQBm9ByrPAYADe0vcEmtHTr0E1Di2oyIsKZijOUlpdSUlZCaXmp9fdy6++/fu/XnCg6UW07Pw8/Mp/IbJA2NERI2SQi/RukNfWkIUUp1dKICPt+2mfTp+XHwh8BuLHtjQzyH2SGFv/2/hparkFlFWU24eBioaEu5TZlddjuShgYVE6tbJDX3hAh5R+APbAcOFNVLiJbGqSFl0FDilKqpRMR9uTvsQktVX+t+rTzsQktlvaWpm3sNaRSKmv/wr+M0HC521VIxaUbWAtXB1dcHFxwdbT+dHFwMctqLb/EOmM+GsPxouPV9tfczqSsqaFYRGRwfRt3uTSkKKVaGxHhh7wfbEJLXnEeYP0yOD+0+Hr42mzb2J0arzYR4WzF2bqdJWjg0HC24my92u5k71SnL35XR1dc7C8RHi6j3MneqdHOvrWIPinNiYYUpVRrVymV7MrdZYaWbzK/Ib/E2gXQv70/gyyDiLXEcqr0FH9Z/ZdG+QIpryy/+Bf+5V6GuIztSstLEa78e8nesG/wswl1qc/FwaXVjpfTEu7u8QCmAtHnir4BpotIQYO1so40pCilrjWVUsmOEztsQsvJ0pMXXb+9S3ueHPBkvUJDQ11+qMuX/OUEhkuV62SRLU9DhJQPgB3Av88V3QuEiMjIBmtlHWlIUUpd6yqlku3Ht9N7fu9a16vr5YfLDQdNeflBtT61hZS6Rs5uIvKb855PMwwjo/5NU0opdbnsDDtCO4fi5+FHVkFWteU+7Xw49Pghnc1ZtXh1vYBWYhjGLVVPzg3uVtI4TVJKKVUXM+Jm4OboZlPm5ujGC7e+oAFFtQp1PZPyEPDvc31TDOAnYGxjNUoppdSlVXVebE139yh1vsu6u8cwjHYAIvJzo7XoErRPilJKKdV6XHGfFMMwfi8i7xiG8ecLygEQkZcbrJVKKaWUUue51OUe93M/29awrGUNsKKUUkqpFqXWkCIi88/9+pWIpJ6/7FznWaWUUkqpRlHXu3tm17FMKaWUUqpBXKpPSgQwEPC8oF9KO6wTDiqllFJKNYpL9UlxAtqcW+/8fik/A/c0VqOUUkoppS7VJ+Ub4BvDMBaLSPVhDZVSSimlGkldB3MrNgzjJSAAcKkqFJHBjdIqpZRSSl3z6tpxNgnYDfgD04BM4LtGapNSSimlVJ1DSkcRWQiUicg3IjIO0LMoSimllGo0db3cU3bu5zHDMOKBo8B1jdMkpZRSSqm6h5S/n5tc8Cms46O0A55stFYppZRS6ppXp5AiIp+d+7UAGNR4zVFKKaWUsrrUYG6TROT/DMOYTQ1z9YjIY43WMqWUUkpd0y51JuWHcz/TGrshSimllFLnu9Rgbp8ahmEPBInI/16lNimllFJKXfoWZBGpAHTGY6WUUkpdVXW9uyfDMIxPgGSgqKpQRJZfbAPDMN4C7gBOiEhgDcsN4DXgdqAYGCsiWy6j7UoppZRqxeo6mJsLkI91ALcR5x53XGKbxcDwWpbfBnQ/95gAvF7HtjS4pKQkLBYLdnZ2WCwWkpKSmqopqhXS95dqTPr+Uo2tSd9jItJoD8AC7LjIsvnA6POe7wG6XKrO8PBwaUjvvPOOOIY7Ck8gTEV4AnEMd5R33nmnQfejrk3vvPOOuLm5Cda74wQQNzc3fX+pBqHvL9XYrsZ7DEiTi+WIiy0Q20DhAjwC/At4q+pRh+1qCymfAbec93w10OdSdTZ0SOkY21F4BuH58x7PINfFXicxMTGyZMkSEREpKiqSmJgYWbZsmYiInDp1SmJiYuSDDz4QEZHc3FyJiYmRTz75REREjh07JjExMfLll1+KiEh2drbExMTIqlWrRETkwIEDEhMTI2vXrhURkd27d0tMTIykpqaKiMj3338vMTExsnnzZhER2bp1q8TExMjWrVtFRGTz5s0SExMj33//vYiIpKamSkxMjOzevVtERNauXSsxMTFy4MABERFZtWqVxMTESHZ2toiIfPnllxITEyPHjh0TEZFPPvlEYmJiJDc3V0REPvjgA4mJiZFTp06JiMiyZcskJiZGioqKRERkyZIlEhMTI2fPnhURkUWLFklMTIx5XN944w2Ji4szn8+dO1eGDx9uPn/11VdlxIgR5vOXXnpJRo4caT5/4YUXZNSoUebz6dOnS2Jiovn8ueeek7Fjx5rP//KXv8gf/vAH8/lTTz0lDz/8sPn88ccfl8cff9x8/vDDD8tTTz1lPv/DH/4gf/nLX8znY8eOleeee858npiYKNOnTzefjxo1Sl544QXz+ciRI+Wll14yn48YMUJeffVV8fPzs/nPXfVwcXGRN954w1w/JiZGFi1aJCIiZ8+e1feevvfM57W99/z8/IQgbP7IIgjp0KGDuf7w4cNl7ty55vO4uDh97+l7T0Tq9t7z8PCo8TPMz89PGkptIaWul3uWAJ2BYcA3gDdwuq5na+rLMIwJhmGkGYaRlpub26B154fmg9MFhU7wU/+fONblGAdKDwDWMFfQroDM0kz25u/lyOkjlDmUUS7lDdoe1bpkZ2fXWF5aWnqVW6Jao6x2WdaL7+0B49zPEXDS+2TTNky1GgUFBTWWX+yzraEZ1hBziZUMY6uI9DYMY7uIBBuG4QisE5EBl9jOAnwmNXecnQ+sFZGl557vAWJF5Fhtdfbp00fS0hpu2BbjecP6n/siHuv3GK/d9hql5aW4znCttvzpW57m/8X9P34q+Ylec3vh5uiGu5M7bo5uuDm68WD4g4wKHEVecR5T1kwxy90c3XB3dGeQ/yACvQI5feY0m45sqra8o1tHXBxcGuz1qqvLYrGQlZVVrdzPz4/MzMyr3yDVJMoqyigpL6G4rJiSshJcHV3p3KYzIsJXB7+ipLyEkrIS82eAVwDRftGUlpfyzOpnzGXFZcWUlJcwKmAUvw/+PQ6THKhwr6i2P7tSOypeqOB44XEeX/G4+XlS9dl0R487COsSxsmSk6w+tBp3R3ebzy6fdj60dW5LpVRiYGC9z0Fdi67GZ5hhGOki0qemZZc7weApwzACgR8Br3q26xPgT4ZhLAP6AwWXCiiNoaNjR/LL86uVX2d/HVsf3YqrgzWYONg58N/f/5eis0UUlxWbj/AbwgGwM+y4q+ddFJcX2yyvlEoATpWeInlXslleZf4d8wn0CmRv/l6GLBlSrR3v/PodEoMTWZe1jvh3438JMOc+TP459J/c4nsLW45t4bVNr5kfNlWPxKBEfDx8yC7IJuPHDJtlbo5u+Hn44ezgrB9GjWTGjBlMmDCB4uJf/s3d3NyYMWNGE7ZKVVRWYG9nD8DR00c5VXrKJiS4OboR6WsdeWHp90s5evqoTZDo1qEbj/R7BIBxH48juyDbZnmcfxxzbp8DQKf/60R+ie1nzP2h9/PWXW9hGAa3Jd1GhdgGjT/1/RPRftEYGCzYsgBXB1dcHV1xdXDFzdGN02esJ7JrCigAlS7Wz52isiK2/riV4rJi87PrTMUZbmh7A2Fdwtj30z4SkhOqbf/uyHcZHTSalKwUBv17kBlyqj57Xo9/nWi/aDYf2cz/pf6f9fPI4ZfPpQd6P4Bfez8OnTzE5iObbf5wc3d0p3vH7rg4uFBWUYadYWf+W6jmp6k/w+oaUt4wDKMD8BzWcNHm3O8XZRjGUiAW6GQYRg4wFXAEEJF5wBdYbz/ej/UW5PuvoP319tqdrzHuw3GclbNmmZPhxKy7ZuHr4WuWOdg5MLTb0IvW096lPfNHzL/o8l9d9ytyJ1ovVYkIpeWlFJUVmSGoR8cerLt/nc2HSXFZMf29+wNwfZvrGR823rrsvCDkbO8MQG5RLt9kfkNRWZFNEIr2i8bHw4evD33N/R9XP8TbHtxG8PXBvP7d6+ZfXOcHoS/+5wt8PHz4YNcHLNu5zObDys3RjcmRk3F3cmfLsS3szd9bLQQFXx+MnWFHSVkJdoYdTvZO11QQSkxMBODZZ58lOzsbX19fZsyYYZYr6/+Hssoyg/xgPQAAIABJREFUm5BQWl7KzZ43A7DjxA4O/HTAJgSIiBkSFmcsZmPORpvlbZ3a8u5v3gVg/CfjWXVwlU39PTv1ZOfDOwFISE5g/eH1Nm3qe0NfNv9hMwAvpr7ItuPbALA37HFzdOPWrrea+88vyaekvARXB1euc70OVwdXunXoZtb1VMRTVEiFGTTcHN3o2bGnuTzl/hSc7Z3NEOLq6Eo753YAODs4c/rpi19Z9/PwI6ughr9yPfwA6NqhK3v+tMdmWXnlL5eoA70C2f7gdvNzo+qzZ4C39SS5TzsfpkRPoaisyPzsKTpbZLavoLSAXbm7rNue99lze/fb8Wvvx9rMtYz7ZFy19m1/cDtB1wcxL20ej614DCd7J5szPav/f3t3Hh9XWe9x/PObZJImXbK0pVCaLkChUKBFylKURZFFsYhQNkHAixQuIqLovXhRFK4oKnovF5FL4QIuhbKobLLKRQUEurCWspW2lLZ4S9MkbZM0mSS/+8czk5lJMsm0ZJJJ832/XvOamfOcc+aZ9HTO9zzPc84560nGjRjHXUvuYv7r85MBKf58+WGXUxotZdHaRby1/q325RLl03acNqh/d3pTf/+GZdvdU+DuXUf2Ptbb3T0A816bx+VPXs6qulWMLxvP1UdezRn7DOydSCIIRQuiFEYK2dC4gZW1K9t/RBI/Rp/b/XOUDSnj+dXP89DbD6W1AtXH6rnpczcxqnQUNy26ieteuK7Tj1HdZXWMKB7Btx//Ntc+d22nesS+F6MwUsiFf7qQGxfd2P4jXxotpbKkkqVfXQrANc9cw9Ornk472hpdOporP3klAA+/8zAfbPogrRWpYkhFe0tWdUM1EYtQGi3Nux+kgbZ9JUJDgRVQECmgbksdazatoTGW7G5ojDXyqUmfYnjxcF764CWeXPFkWghobGnkmk9fQ/mQcua9Oo/bXr4trbujsaWR1y98nWFFw/jW49/i58/9vFM9Wq9oJWIRzn/wfOa+ODetrKSwhIbLQxCf8+Ac7nvzPkqjpe07+rHDx/LQF8N9Ua/9+7UsWbckLSSMHT6WCw+4EIDHlj1GzZaasHx8nsqSSvYavRcAGxo3UBgppKSwhGhBNJd/+q0277V5zHlwTlrrbGm0lLmz5vbbNubuOE7EImxs2siajWuSISf++3H0rkczongEC9Ys4NFlj6b9JtXH6vnVcb+isqSSuYvn8ssFv0wLUfWxeuouq2NY0TAufexSfvH8LzrVoeV7LRRECrjgoQu4afFN7b87Q4uGMrJkJEsuXAKE352/v//39pag0mgpY4aN4buHfReAR5c9yrr6dWndZRVDKthnzD4AbGza2L5t5NNvzkDTXXdPtiFlFfAocBfwv57NQjmSi5Ai2yaxGZgZGxo3sK5+XVrIaYg1cMKUEwB4/N3HWbR2UVoZwH9/7r8BuOKpK3j4nYfTAlJlSWX7UeBn5n2GR5c9mvb5U0ZN4Y2vhttLHXbbYTy96mkgebQ7s2omj535GABn33c2q+pWpbXyTB8znW/M/AYANy++mS0tW9LKx5eNZ7+d9gNgec1yiguK28uyDUK9sRNJbWlIDQk7Dd+JypJKahpr+Ot7f+0UEmbtPos9Ru3BGx++wXUvXNcpJFxz5DUcsPMBPPLOI5z/0Plpy7Z5G8+d+xwHjzuYW1+6lXMfOLdTvRJHw9e/cD0XPxruNZr4wS6JlrDovEVUlVVx+8u3c8uLt6S1FJQUlnD9Z65nePFwnnj3ifbxWKnls/eaTUGkgBU1K6jZUpNWltraMNgNtBD8UXX83VnfsD4t5DS2NHL8HscDIYCm/u7Ux+oxrL3V+/InL+eRZY+khahRpaN4+2tvA3DM747h8XcfT/v8PUft2X5w9YlbP8Gz7z8L0B5kZlbN5P7T7gdCK97aTWvTWnr2HbMvF8y4AIDfvvJbYm2xtK60scPHMmXUFCC0kA8pHEJptLRfu8RyvY31RkgpJVy87TRgf+BBYL67P9NrtcySQsrgVLullk1Nm9JacQqsgJlVMwH44xt/5L2699JC0NjhY/nWIeGWU3MenMNb1W+ldaUdPO5g5s+eD0DVf1SxeuPqtM+cvdds7jn5HgAqf1JJzZbkGRMFVsC5+53b/mO33037EY1E0/reZ+0+iyueuqLL5vhh0WHMO2kex+9xPB/Wf8ip957aafDk9w77Huftfx5LP1zK1F9N7bSOm2fdzFc+9hUWrFnAQbcc1Kn8zpPu5LS9T+Pp957m5HtO7hQSfnbUz5hZNZPFaxdz/YLrO4WEs6adRVVZFStqVrBw7cJOIWHPUXtSEi2hMdZIrC2Wly0NIh9FdUM1tVtq01qQo5Eoh044FIC7ltzV3kKdCDpVZVX826H/BsCX/vgl3lz/ZlqIOmzCYdx7yr0A7PyLnVm7aW3aZ54y9RTumn0XAOXXlFPXFM6uSRwknTP9HH5xTGg9OuL2IyguLE629ESHcsxux3DinifS0tbCDQtuSGt9TowHmlg+kda2Vj7Y/EF7C1E0Eu3ywKsvWus+ckjpsLIKwuXsz3D3Po92CimSC4lWitQfo2FFw9h95O4AzF8yn01Nm9Lmmb7jdGbvNRt3Z/Y9szuNJzpz3zP57v9+F6fr/2M/O+pnfOuQb7GhcQPH33l8WndFSbSE06aexjG7HcOGxg3cuPDGtLLSaCkHjD2ASRWTqG+u563qtzqFjP4++hKR7q1vWM/m5s1p3fAVJRXsO2ZfAOYuntt+cJb4bTlo3EGcue+ZtLa1cvTvjk7rJmuINTDnY3O48pNXUrulloqfVHT6zCuPuJIrDr+C1RtXU/UfVe3TC6yAoUVD+cmnf8IFMy5gZe1KTv/96bz0wUs0tTZ1Ws+EsgmsvGRlr/wdeiWkmNnhwKmES90vAu5y99/3Sg23gkKKDCQT/3NixoGNvfUfXESkI3endkttp/E840aMY2L5RDY1bWL+kvmdBk2fMOUEDp94OMtrlnPBQxfwxPInuly/YbR9v61X6tob3T0rgZeAu4EH3L2++yVyRyFFBpJ8HNgoIpKtvjjQ6i6kZHvF2X3d/Qvufmd/BhSRgeaMfc5g7qy5TCibgGFMKJuggCIiA8bVR15NabQ0bVpptJSrj+yb66Rs9ZiU/qaWFBERkb6T92f35BOFFBERke3HR+7uMbNJ2UwTERER6S3Zjknp6iyee3uzIiIiIiKpur13j5lNAaYCZWZ2YkrRCEC35hUREZGc6ekGg3sQrjRbDsxKmb4JOC9XlRIRERHpNqS4+/3A/WY2092f66M6iYiIiGQ9JuULZjbCzKJm9qSZfWhmZ+a0ZiIiIjKoZRtSjnb3jYSun5XAbsC3c1UpERERkWxDSuLWpscB97h7XY7qIyIiIgL0PHA24UEzexNoBP7ZzEYDW3JXLRERERnssmpJcffLgEOAGe4eAxqAz+eyYiIiIjK4ZXvF2VLgQuDG+KSxQJeXsBURERHpDdmOSbkNaCa0pgCsAX6YkxqJiIiIkH1I2dXdfwrEANy9AbCc1UpEREQGvWxDSrOZlQAOYGa7Ak05q5WIiIgMetme3fMD4FGgyszmAR8HvpyrSomIiIhkFVLc/XEzWwwcTOjm+bq7r89pzURERGRQy/bsnifdvdrd/+TuD7n7ejN7MteVExERkcGr25YUMxsClAKjzKyC5GDZEcDOOa6biIiIDGI9dfecD1xCuC7KYpIhZSPwyxzWS0RERAa5bkOKu18HXGdmX3P36/uoTiIiIiJZXxZfAUVERET6VLbXSRERERHpUwopIiIikpe6DSlmdmbK6493KLsoV5USERER6akl5ZsprzuOS/mnXq6LiIiISLueQopleN3VexEREZFe01NI8Qyvu3ovIiIi0mt6upjbFDN7ldBqsmv8NfH3u+S0ZiIiIjKo9RRS9uyTWoiIiIh00NMVZ99LfW9mI4HDgFXuvjiXFRMREZHBradTkB8ys73jr3cClhDO6vmtmV3SB/UTERGRQaqngbOT3H1J/PWXgSfcfRZwEDoFWURERHKop5ASS3l9JPAwgLtvAtpyVSkRERGRngbOvm9mXwNWAx8DHgUwsxIgmuO6iYiIyCDWU0vKucBU4BzgVHevjU8/GLgth/USERGRQa6ns3vWARd0Mf0p4KlcVUpERESk25BiZg90V+7ux/dudURERESCnsakzATeB+4EXkD36xEREZE+0lNI2RE4Cjgd+CLwJ+BOd3891xUTERGRwa3bgbPu3uruj7r72YTBssuAv5jZRX1SOxERERm0empJwcyKgeMIrSkTgf8C/pjbaomIiMhg19PA2d8AexMu4nZlytVnRURERHKqp5aUM4F64OvAxWbt42YNcHcfkcO6iYiIyCDW03VSerrYm4iIiGzPVsyDVy6HhlVQOh6mXQ2TzuiTj+5xTIqIiIgMUivmwYI50NoQ3je8F95DnwQVhRQREZHBwh3MoC0Gta9BrA6aa+PPdTDqIBh1MDR+AIsugjUPQ9uW9HW0NoSWFYUUERERAcDboK0ZCoaE9x8+C801yZARq4OyqTDu89DWAn+d1SGE1MIeF8P0H0PLZnh0/86fsc8PQkjBYOObnQNKQsOqXH3LNAopIiIiueYeWiBam6C4Mkxb97fQYpEaJEqrYHL8lnlPnwSblqWEkI0w/mT4xF2h/C/HhempdvlyCCmRwjB/4VAo2RmKyiBaBqMPDfMVjoDD7gvTisrDc7QMovHzYUp2hONeh/smhi6ejkrH9/qfqCsKKSIiIj1pbYZYLbQ0wLCJYdq6Z2DT28muklgtFA6DaT8M5c+fC+v+GqY314G3QOUMOHZhKF98CdS8lPwMi8COxyRDSuEwGDYJovEQUVQG5dOS8x/+YGhVSQSMorJkKwvA0c9m/j6RghBmejLt6vQxKQAFpWF6H8hpSDGzY4HrgALgFne/pkP5BOBWYDSwATjT3Vfnsk4iIjLItLVCy6Zki0T5PiEQrH8eqhcmu0qaa6G1EQ75XVjupX+BFb8JZa3xbo+iSphdHV6/9Z/w/u+TnxMdASOmJEPK0PEw8qBkS0VRGZROSM4/87fxdcbLC4eG8SLt5b/u/nvtcOi2/02ylRh30k9n95i752bFZgXA24R7/6wGFgKnu/vSlHnuAR5y91+b2aeAL7v7l7pb74wZM3zRokU5qbOIiOQZd2ipT+8SqZgWdugbXoIPHksPGbE6mPkbKB4Jb/wcXrsyBJRUs2tDYHjp2/DGtWFaQUkyLHz2tdBd8u6tsP65lO6Q8tBVM/GLYZmG1eCt8YAxPLROyFYzs8XuPqOrsly2pBwILHP35fFKzAc+DyxNmWcv4Jvx108B9+WwPiIi0tdat8S7QjqEjCE7wMa3YMXvOoeM/a8L86y8A547KwSBVMe+CJX7QfXz8Mp3wArTx1W0NISQUrY37HpushUjWh7vEikO65n6b7Dnv4YWkIKiznXf9Z/CI5PScb33d5Iu5TKk7Ay8n/J+NXBQh3leAU4kdAl9ARhuZiPdvTp1JjObA8wBGD++bwbriIgMCLm80Ja3hbNHUsdcNMfPIBkxOQz6fOPazuV7fw/GzYJ1T8OfD+u83kN/D1UnwuaV8PrVISSkDuD0ljBf2VTY67L0kBEtg+G7hvJdvgyTzg6tIKndJAljjwmPTIoqPvKfSHKrvwfOfgv4pZmdA/wNWAO0dpzJ3ecCcyF09/RlBUVE8lZPF9pyD10SHVsqhu0arofR0ggvfiM9ZMTqYLfzw6mqDWvg/i4ODPe7FkZcCrHNsOymlIGb5aEFI9FSMWxXmPaj9PJoGZTtFcp3/DSc3hLGh3SlYlp4ZJI6SFS2S7kMKWuAqpT34+LT2rn7WkJLCmY2DDjJ3WtzWCcRkY8ucUEsgNimMNiyLZZ8WCR5tF/7GjRtAE+UN4eWgzGfDOXv/wG2/F/68qVVydaQ138Ejf8I0xPrqJgOU74RWlBSz7qA8H7hPyeXf2CXZMtEwuQLQ0iJRGH1H9NDRMlYGLJjmG/IaPjYfyZPX02EjKHxwZ8jJsMpmzP/nUrHwtTvZC7XGA7pQS5DykJgsplNIoST04Avps5gZqOADe7eBnyHcKaPyPalH+97kXfcw/iCthhEisJOqqUemtan76Q9Fpr6C4ZA/XtQ90b6TrotBlUnQWEJrH8B1v+98/J7fz+MM1j1+zC4MnVZbwldDgBLfwZr7k9fvqAYjo0P0F9wPqy6N/3zh4yBL8SPuZ49DdY+nP49h+8Os94KrxddFK6Hkapy/+T6l/ww/TRUgB0OT24j790d/gaRaMoj3lKR6YJaiYGiZnDQ/4S/UzRlTMaQHUJ5pBBO/L/M/14FQ2DK1zOXi+RYzkKKu7eY2UXAY4RTkG9199fN7Cpgkbs/ABwB/NjMnNDd89Vc1adb2olIrvTmfS/aWtOPxiPFEB0Wriy5+d2UnWxzeB46AYZWhSb5f/w5fSfdFoPRh4Rm98Z/wPJb08vaYuEMhpEzwuDGJT/sHBL2vgJGzwxXvVz89c4h4ZA7wmesuheeOzu5bMIxC2DkAbByXggCHR23FMr2DCHjpUs7l485AgrHhQDy2vfTy6wA9vyXEFLqlsCaB9N38hYNf89IQWj1iBSFa1JYvLxwaHJdIw9KTk88ouXJ8t0ugLGfTa43Ek0f67Dfz8NFtVKXLxyeLD/iEcDT6xaJJss/+3LmbaJ0fIYLbaWc5rrLWZmXF8lzOTsFOVd6/RTkjjsRCBeqOXDuwAoq3hZ2VrSFo9XEc8GQcLTU2hyOrrwN8PDsbVA8KvyQxzaHo9nEct4WXg+dGI4qm6qhcW3n5cv3CeUNq6F+VXK5RB1GfyL84G58B+pXJJcj/rzz58JOouZl2PRucnqiOX3CqeH7rXsGNr2T/Gw87Fh2OTuUr3kYNi9L/+7R4bDbeaF85Z2weXl63YfsALtfGMrfuTEcrbYv3xZ28ntcHMqXXB2+f+ryZXvBlEtC+YuXwpYP07/7yAPhzeu63olEimGf7yebwh+elt5l4DHY5VyY/qMwbuDuoeGzU029PFyPYcs6+MOYzp8x7ccw9bLwd31wt87l+18Pe1wENa/AI9PDNIvEd5JFcOBNMPF0qF4Ez5ySspMtCs/TfwpjDg/lr30/fQcbiYaQUD41/Nuu+F3nnfCks0J3wMa34MNnkp+bmG/MJ8O/YcOasG11DBnDJobXLQ3x0JZYd2HmMQ7bm+3l90sGtf46BXlgyNSn+8JXYPn/wLgTwo6qLQZ/PoK0naS3hZHle1wUBqT9+bD0nSRtsMc3YPL5UP9+fJR7yk4Oh33/PZziVrc0uXzqjv6AG8OPzfrn4c+Hd17+E/fC+JPggyfgL8d2/n6ffAx2OhrWPADPnNy5/Khn40e798ALXZxq99lXQxBZeQcsvrhz+fErws5ixW/C37Kjk9aHgXTLb4Wl13QuP7UphKRlt8A7N6SXRYqSIeXdm8NnpCqqTIaUd28Jfeuphk5IhpTlt8E/nkgvL9s7GVJW3gnVL8R3bpEQkEYelAwpHzwS7mNBJD6PpV97Yf3z4UwHs+TyxaMyN8e3NaXvSBMDCVN38hXTk3+HqZd3aO4vgsoDQnm0DA6Zl5yeWMfwyaG8dFw4ZTM1AKQe7ZfvA6duie/ku9i5j5wBn1/e9fdIlB/xp8zlFdOT36UrI/YIj0xKdw6PTApLgdLM5duzfr7QlkiuqSXljgidjlATRh8aTpObckkIKU99JrmDsvjOavzJsMs5YfDcc2ellxOBCadB1QmwZT28+M3kcol5JpwOO34KGtaGU/FSd5KJ5UcdGI7y37mRtJ2kRWD8KeFodfNyeG9+ymfHn6tOCpdV3rQM1j6SXncsXBa5ZMfQ0rH+2fS6m4Vm7KLysHzNKyk74fjyOx4ZdhKbl4d50r6/wahDQgjZvDK0RLSvO77+iv3C64Y10Lwh/btbBEbsHv4ttnwYxi6k/f0LQt0hNKcnBiymliea7Vubw3Pa37+LUxZ7W8b7XkyAE1bm/vNFRPJcdy0pCinaiUguqTleRKRb3YWUQdJx241pV4edRqo+vHmSbOcmnRECSekEwMKzAoqISFY0JkV9upJrk87Q9iQisg0UUkA7ERERkTyk7h4RERHJSwopIiIikpcUUkRERCQvKaSIiIhIXlJIERERkbykkCIiIiJ5SSFFRERE8pJCioiIiOQlhRQRERHJSwopIiIikpcUUkRERCQvKaSIiIhIXlJIERERkbykkCIiIiJ5SSFFRERE8pJCioiIiOQlhRQRERHJSwopIiIikpcUUkRERCQvKaSIiIhIXlJIERERkbykkCIiIiJ5SSFFRERE8pJCioiIiOQlhRQRERHJSwopIiIikpcUUkRERCQvKaSI5NqKeXDfRLgjEp5XzOvvGomIDAiF/V0Bke3ainmwYA60NoT3De+F9wCTzui/eomIDAAKKSLboi0GzTXh0bQh+bo59XUNrLobWhvTl21tgAXnw4ZFUFQJxSOTj8T7opFQOBTM+uf7iYjkAYUUGbzaWiFWlx4smjZArKbnANKyuft1Fw6DoorOASWhtR7e/R9o2ZR5HZGizsEl9X37tMr0soKibf+biIjkEYUUGdjcIbYxc0tGxwCSOj1W1/26C4aEoFFUGZ6HToCK/eLTUqYnHsXx99HyZFC4b2Lo4umodAKcsBJam0NdmqqhuTpex+rwvqk6vWzT21Adf9/WnLnehcPSQ01PQad4JETLwDRETUTyi0KK9D/30AXSY/dJVy0eteCtmddthSnhoQJKdoSyPbsIGR0CR1EFFJZ89O827er0MSkABaVhOoQwU7JjeGTLHVrqk2EmEWS6CjZN1VC/Mv6+BvCu12mR+PfO0EKTqQWnoFRdUiKSMwop0ntam3puvcj0ui2Web0WCa0Taa0ak5Lho7vA0d/jOhKDY1+5HBpWQen4EFA+yqBZM4gOC4+hE7Jfrq0VYrVdtNZ00YLTuAZqXw3TWuozrzNSnLnrKWMLTiVEotv+/UVk0FBIkXRtLT13l8QyhI9M4y8SomXpLRVlO3fuKukqcESHD+yuiEln5MeZPJGCZHhgcvbLtTalt9Z01YKTCDob30xO85bM64yOyBBqugk60TK12ogMMgop2yNviw8IzbYlI2W+7gZyQmiZSA0Sw3frviWjvaulDCLa3AakgmIo2Sk8suUeBhenhppMwaa5Gja/G6bFajOv0wqSLTHZBpuikb3TbSci/UJ7jXyV+JHP2HXSXeioJePYA4g30acEidIqKN+3566TogqdOSLZMQstYNHhwMTsl2trjW/DmUJNyrT6VVDzUvh/kTrmp6OCki7G0/R0llSFQrVIHtD/QggX3OrNMQMJ7qELpKfWiy4DR233zeVWmB4kineA4Xt06DbJEDh0ZCn5KlIAQ0aFx9ZoaUwZMLwhcwtOczXULUm+727QdbSsh1DTxVlShcPVJSXSixRSsrkiaGtzdmebdDVeo62pmw83KCpPDxJDJ2YYp9FxQOgw/RiKJBSWQOHOULpz9su0n74e73bqLtg0rQ+ngDdVd3/qevvZZFkGm/azpIZs+3fP1UGWSB4w9266BfLQjBkzfNGiRb23wkzXsbAolIzpuSkZ4oMAe+gq6SpwREcM7AGhIoNRW0s8wHRzTZuuprVuybzOgtLMZ0RlOkuqqALem9/1Ke4HzlVQkQHDzBa7+4yuytSS0rCq6+kegx2PymKcRrn6rkUGk0ghDNkhPLZGS0PmgcMdQ03tq8n33pZhhRZ/dChvbYBFXw0tuWktN/EWnugItcLKgKG9a+n4zFcEPfjWvq+PiGyfCkvDo3Rc9st4W+iSyhRsllzV9XKxOlj8ta7L2s+SGrl1z/19zSEZlBRSeroiqIhIf7FIfNxaOQzftXP58l9nOMgaD8cuTAk0KcGm4wDjhveh5uXwvtsL9xV1Di/ZBJyPMt5GBj2FlFxcEVREpC9kPMj60bZ1SbVuiZ8I0EWY6fi8aRlUL4jfS6qbEwQKSray1WakLncg7RRSIH+uCCoisjV6+yCrYMi2XbivtTG7YNO8AeqWppwC3s1lFgqHp5wpleWzxghud/SvKSIykPX3QZZZcrzN0Krsl+t0VeIeAk79qjBfc003g4kJ9/nqFGK6abkprtRdwPOYQoqIiPS9bb0qceK2HxlDTXX6WJxN78Tvmt7dLRdS7gLeU3dU6mtdryrnFFJERGTgaA8UFV0PJs6krSVcybtjiOnqufGDcGXipg3d388sEo1fkmIrz5YqKFG4yZJCioiIbP8ihdt2y4X2K45nODsq9bl+JdS8GN53d1f4SPHWnyVVVBlu9jnIKKSIiIhkUlAUrj5eMmbrlkvcTypTqEl9vfGtZFdVWyzzOguHZnd2VNqYnMqPPpi4H2+9kNOQYmbHAtcBBcAt7n5Nh/LxwK+B8vg8l7n7w7msk4iISM5t6/2kWuqzO0uqqRpqX0u5MnF3N8scsXVnSRVXhgHIkYLs7m+XQzkLKWZWANwAHAWsBhaa2QPuvjRltu8Cd7v7jWa2F/AwWzWCSkREZDthBtFh4TF0fPbLdXmzzG6eNy9P3iCXTPfvi98AN7ap86nirQ2hZWUghxTgQGCZuy8HMLP5wOeB1JDiwIj46zJgbQ7rIyIisv0xg6Ky8Bi2S/bLtbXGz5TqJtS8c0PXy2a6710vy2VI2Rl4P+X9auCgDvP8AHjczL4GDAU+3dWKzGwOMAdg/PitSJciIiLStUhB6Noprsw8z5qHMt96oQ/099VrTgdud/dxwGeB35p1vqKOu8919xnuPmP06NF9XkkREZFBadrV4VYLqfrw/na5DClrgNTLD46LT0t1LnA3gLs/BwwBtvL8MBEREcmJSWfAgXOhdAJg4fnAudvF2T0LgclmNokQTk4DvthhnlXAkcDtZrYnIaR8mMM6iYiIyNbox1sv5Kwlxd1bgIuAx4A3CGfxvG5mV5mLOjJ4AAAG9ElEQVTZ8fHZLgXOM7NXgDuBc9w901BjERERGURyep2U+DVPHu4w7YqU10uBj+eyDiIiIjIw9ffAWREREZEuKaSIiIhIXlJIERERkbykkCIiIiJ5SSFFRERE8pJCioiIiOQlhRQRERHJSwopIiIikpcUUkRERCQvKaSIiIhIXlJIERERkbykkCIiIiJ5SSFFRERE8pJCioiIiOQlhRQRERHJSwopIiIikpcUUkRERCQvKaSIiIhIXlJIERERkbykkCIiIiJ5SSFFRERE8pJCioiIiOQlhRQRERHJSwopIiIikpcUUkRERCQvKaSIiIhIXlJIERERkbxk7t7fddgqZvYh8F6OVj8KWJ+jdYto+5Jc0vYluZarbWyCu4/uqmDAhZRcMrNF7j6jv+sh2ydtX5JL2r4k1/pjG1N3j4iIiOQlhRQRERHJSwop6eb2dwVku6btS3JJ25fkWp9vYxqTIiIiInlJLSkiIiKSlwZlSDGzY83sLTNbZmaXZZjnFDNbamavm9kdfV1HGbh62r7M7Bwz+9DMXo4/vtIf9ZSBKZvfr/h8J5mZm5nO+JGsZfH7dYGZvRb/7XrGzPbKaX0GW3ePmRUAbwNHAauBhcDp7r40ZZ7JwN3Ap9y9xsx2cPd1/VJhGVCy3L7OAWa4+0X9UkkZsLLZvuLzDQf+BBQBF7n7or6uqww8Wf5+jXD3jfHXxwMXuvuxuarTYGxJORBY5u7L3b0ZmA98vsM85wE3uHsNgAKKbIVsti+RbZXt9vXvwE+ALX1ZORnwety+EgElbiiQ05aOwRhSdgbeT3m/Oj4t1e7A7mb2rJk9b2Y5S4my3clm+wI4ycxeNbN7zayqb6om24Eety8z+xhQ5e5/6suKyXYhq98vM/uqmb0L/BS4OJcVGowhJRuFwGTgCOB04GYzK+/XGsn25EFgorvvCzwB/Lqf6yPbCTOLAL8ALu3vusj2y91vcPddgX8FvpvLzxqMIWUNkHrkOi4+LdVq4AF3j7n7CkIf3eQ+qp8MbD1uX+5e7e5N8be3APv3Ud1k4Otp+xoO7A38xcxWAgcDD2jwrGQpm/1jqvnACbms0GAMKQuByWY2ycyKgNOABzrMcx+hFQUzG0Xo/lnel5WUAavH7cvMdkp5ezzwRh/WTwa2brcvd69z91HuPtHdJwLPA8dr4KxkKZvfr9QD9uOAd3JZocJcrjwfuXuLmV0EPAYUALe6++tmdhWwyN0fiJcdbWZLgVbg2+5e3X+1loEiy+3r4vio+BZgA3BOv1VYBpQsty+RbZLl9nWRmX0aiAE1wNm5rNOgOwVZREREBobB2N0jIiIiA4BCioiIiOQlhRQRERHJSwopIiIikpcUUkRERCQvKaSISNbMbHT8zqdLzOyElOn3m9nYDMucsK13SjWz6Wb22a1c5u/b8lkikn8UUkRka5wO/DfhRmSXAJjZLOAld1+bYZkTgG29nft0YKtCirsfso2fJSJ5RiFFRLZGDCgFioFWMyskhJWfdjWzmR1CuKruz8zsZTPbNf541MwWm9nTZjYlPu/J8RaaV8zsb/ErXl4FnBpf9tQO655qZgviZa8mroRpZpvjz1fFy142szVmdlt8+pkpy90Uvz29iOQhXcxNRLJmZmXAHcAYws3FpgIb3f32bpa5HXjI3e+Nv38SuMDd3zGzg4Afu/unzOw14Fh3X2Nm5e5ea2bnADPc/aIu1ns98Ly7z4sHmgJ3bzSzze4+LGW+cuBpwpV9GwiB6kR3j5nZr+Lr+M1H/duISO8bdJfFF5Ft5+51hPt1YGYVwGXAF8zsZqAC+Lm7P5dpeTMbBhwC3GNmicnF8edngdvN7G7gD1lU5zngcjMbB/zB3TvdQ8TCh/wO+IW7L45f8nt/YGH880uAdVl8loj0A4UUEdlW3wOuJoxTeQa4lxAujulmmQhQ6+7TOxa4+wXxlpXjgMVm1u3dod39DjN7IT7/w2Z2vrv/b4fZfgCsdvfb4u8N+LW7f6fHbyci/U5jUkRkq8XHf4xz978Qxqi0AU5omehoEzAcwN03AivM7OT4eszMpsVf7+ruL7j7FcCHhFvGty/bRR12AZa7+38B9wP7diifBXwauDhl8pPAbDPbIT5PpZlN2Pq/gIj0BY1JEZGtFu+SuTw+rmQH4D6gDLjC3X/fYd6PAzcDTcBsQqC5EdgJiALz3f0qM/sDMJnQ2vEkYUBuBeGOrFHC2JW7UtZ7GfAlwmDefwBfdPcNiTEpZvYUMAmojS/ygLtfER+A+x3CQVoM+Kq7P9/LfyIR6QUKKSIiIpKX1N0jIiIieUkhRURERPKSQoqIiIjkJYUUERERyUsKKSIiIpKXFFJEREQkLymkiIiISF5SSBEREZG89P9DHpKnX00/dQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### TEST SET RESULTS ###\n",
    "\n",
    "plt.figure(figsize=(9,6))\n",
    "plt.plot([1]*len(test_size), linestyle=':', c='black', marker='o', label='LinearRegression (BASELINE)')\n",
    "\n",
    "plt.plot(\n",
    "    [\n",
    "     e/e_lr for e,e_lr in zip(\n",
    "         results_without_trend['RandomForest'].values(), \n",
    "         results_without_trend['LinearRegression'].values()\n",
    "        )\n",
    "    ], c='green', linestyle='--', marker='o', label='RandomForest w/o trend')\n",
    "plt.plot(\n",
    "    [\n",
    "     e/e_lr for e,e_lr in zip(\n",
    "         results_without_trend['LinearForest'].values(), \n",
    "         results_without_trend['LinearRegression'].values()\n",
    "        )\n",
    "    ], c='orange', linestyle='--', marker='o', label='LinearForest w/o trend')\n",
    "\n",
    "plt.plot(\n",
    "    [\n",
    "     e/e_lr for e,e_lr in zip(\n",
    "         results_with_trend['RandomForest'].values(), \n",
    "         results_with_trend['LinearRegression'].values()\n",
    "        )\n",
    "    ], c='green', marker='o', label='RandomForest w/ trend')\n",
    "plt.plot(\n",
    "    [\n",
    "     e/e_lr for e,e_lr in zip(\n",
    "         results_with_trend['LinearForest'].values(), \n",
    "         results_with_trend['LinearRegression'].values()\n",
    "        )\n",
    "    ], c='orange', marker='o', label='LinearForest w/ trend')\n",
    "\n",
    "plt.xticks(range(len(test_size)), test_size)\n",
    "plt.xlabel('% test size'); plt.ylabel('MSE test variation (%)'); plt.legend()\n",
    "plt.ylim([0.75,1.25])\n",
    "plt.show()"
   ]
  }
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